Browse > Article

Tag Recommendation Algorithms in Tagging System  

Kim, Hyun-Woo (서울대학교 컴퓨터공학부)
Lee, Kang-Pyo (서울대학교 컴퓨터공학부)
Kim, Hyoung-Joo (서울대학교 컴퓨터공학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.9, 2010 , pp. 927-935 More about this Journal
Abstract
In the era of Web 2.0, users create a number of their own Web contents. So, multimedia search becomes much more important than ever. A tag is a simple keyword which describes the Web contents including URL, pictures, and videos. Tags perform a role of descriptors of Web contents and Web metadata properly. If the number of tagged Web data increases, users are more likely to find the desired search result because the system includes the Web contents which have richer Web metadata. However, the number of users who use tags as Web metadata is relatively small. Because of the cumbersome process of adding tags, or users do not know what to add for the better accessibility from the public. Given situation, tag recommendation, which helps the process of adding tags, has been studied to solve these problems. When a user adds some Web contents, the tag recommendation system recommends relevant tags for the Web contents to the use, and the user selects recommended tags. We analyze and categorize various tag recommendation algorithms in tagging system.
Keywords
Tag Recommendation; Tagging; Tag; Web 2.0;
Citations & Related Records
연도 인용수 순위
  • Reference
1 P. A. Chirita, et al., "P-TAG: Large Scale Automatic Generation of Personalized Annotation TAGs for the Web," presented at the 16th International World Wide Web Conference, 2007.
2 N. Garg and I. Weber, "Personalized Tag Suggestion for Flickr," presented at the 17th International World Wide Web Conference, 2008.
3 N. Garg and I. Weber, "Personalized, Intercative Tag Recommendation for Flickr," presented at the ACM Conference on Recommender Systems 2008.
4 F. M. Suchanek, et al., "Social Tags: Meaning and Suggestions," presented at the Conference on Information and Knowledge Management, 2008.
5 I. Katakis, et al., "Multilabel Text Classification for Automated Tag Suggestion," presented at the Discovery Challenge of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008.
6 Y. Song, et al., "Real-time Automatic Tag Recommendation," presented at the Annual ACM Conference on Research and Development in Information Retrieval, 2008.
7 P. Basile, et al., "Recommending Smart Tags in a Social Bookmarking System," presented at the The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008.
8 P. Symeonidis, et al., "Tag Recommendations based on Tensor Dimensionality Reduction," presented at the ACM Conference on Recommender Systems, 2008.
9 M. Lipczak, "Tag Recommendation for Folksonomies Oriented towards Individual Users," presented at the The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008.
10 H. Kim, et al., "Tag Suggestion Method based on Association Pattern and Bigram Approach," presented at the International Workshop on e-Activity, 2009.
11 G. Mishne, "AutoTag: A Collaborative Approach to Automated Tag Assignment for Weblog Posts," presented at the 15th International World Wide Web Conference, Edinburgh, Scotland, 2006.
12 S. C. Sood, et al., "TagAssist: Automatic Tag Suggestion for Blog Posts," presented at the International Conference on Weblogs and Social Media 2007.
13 M. Tatu, et al., "Tag Recommendations using Bookmark Content," presented at the The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008.
14 B. Sigurbjornsson and R. v. Zwol, "Flickr Tag Recommendation based on Collective Knowledge," presented at the 17th International World Wide Web Conference, 2008.
15 L. Wu, et al., "Learning to Tag," presented at the 18th International World Wide Web Conference, 2009.
16 J. Morrison, "Tagging and Searching: Search Retrieval Effectiveness of Folksonomies on the World Wide Web," Information Processing & Management, vol.44, pp.1562-1579, 2008.   DOI   ScienceOn
17 Z. Xu, et al., "Towards The Semantic Web: Collaborative Tag Suggestions," in Proceedings of the Collaborative Web Tagging Workshop in 15th International Conference on the World Wide Web, 2006.
18 K. Lee, et al., "Folksoviz: A Subsumption-based Folksonomy Visualization using Wikipedia Texts," presented at the 17th International World Wide Web Conference, 2008.
19 K. H. L. Tso-Sutter, et al., "Tag-aware Recommender Systems by Fusion of Collaborative Filtering Algorithms," presented at the ACM Symposium on Applied Computing, 2008.
20 M. Vojnovic, et al., "Ranking and Suggesting Popular Items," IEEE Transactions on Knowledge and Data Engineering, vol.21, pp.1133-1146, 2009.   DOI
21 M. Ames and M. Naaman, "Why We Tag: Motivations for Annotation in Mobile and Online Media," in SIGCHI Conference on Human Factors in Computing Systems, 2007.
22 L. B. Marinho and L. Schmidt-Thieme, "Collaborative Tag Recommendations," presented at the 31st Annual Conference of the Gesellschaft für Klassifikation, 2007.
23 R. Jaschke, et al., "Tag Recommendations in Folksonomies," presented at the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, 2007.
24 A. T. Ji, et al., "Collaborative Tagging in Recommender Systems," presented at the Advances in Artificial Intelligence, 2007.
25 R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval: Addison-Wesley Reading, MA, 1999.
26 S. Brin and L. Page, "The Anatomy of a Largescale Hypertextual Web Search Engine," Computer Networks and ISDN Systems, vol.30, pp.107-117, 1998.